How to Pick the Perfect Souvenir When Travelling

Trying to buy just the right souvenir on a trip is a risky business. You can wind up with a lifetime treasure—or an albatross you feel stuck with forever.

Consider the giant painting of a chicken flying out of Cuba that has been hanging over our couch in Palos Verdes, Calif., for the past 15 years. Buying it cheaply seemed to make sense when we were in Havana, since my husband’s family had fled the country after the revolution.

But the flying chicken just didn’t seem as, well, poignant by the time we returned home and hung the 4-by-7-foot painting. No guest has ever said a word about it. “I can’t help you with the chicken,” an art dealer told me long ago when I asked for help in selling it.

So, how do you find the right souvenir? Or is there even any such thing?

An everyday reminder

For many people, the answer to the second question is an unqualified “No,” and they have stopped trying. “Souvenirs never look as enticing or beautiful as they did at the time of purchase once you get them home,” warns Patricia Schultz, the author of “1,000 Places to See Before You Die.”

After collecting rugs on her trips, then Christmas ornaments, before running out of room at home for both, Schultz says, “I have gone cold turkey. I collect memories.”

But for others, surrendering just won’t do. “It’s intrinsic when people travel that they wind up bringing a keepsake of the journey,” says Rolf Potts, the author of “Souvenir,” a book that traces the history of travel souvenirs back to the earliest recorded journeys.

“It can be a way to show off,” he says. “Much like the envy-inducing travel posts on Instagram.” But for many people, he says, “It’s proof you were there, not only to show other people but also for yourself.”

For those who lean in this direction, there are ways to help avoid regrets. Tara Button , founder of the Buy Me Once website, and the author of “A Life Less Throwaway: The Lost Art of Buying for Life,” suggests focusing on practical items that fit your lifestyle and double as mementos.

As an example, she once bought a “very affordable” baby blanket made from alpaca fiber on a trip to Peru and now uses it every day. The blanket not only reminds her of “the time pre-children when I was traveling,” she says. “It goes over my 2-year-old son every night. It’s always soft and always gorgeous.”

She has a friend who collects one cup from each destination. “Those are perfect memory keepers,” she says. “A small item that is used every day.”

Finding the right scale

One obstacle to finding the right souvenir is that it can be hard to think practically when you are swept up in the excitement of a new culture. Consider the Burmese puppet, 15 inches tall, that has spent about two decades in the closet of Liz Einbinder , head of public relations for Backroads, an adventure-tour company.

“We saw a lot of puppets everywhere and just got caught up in all of the Burmese art and culture,” she says. Now she wonders, “Why did I bring this back? It sits in the back of my closet and I can’t seem to get rid of it. It creeps me out when I see it.”

When that buying urge sweeps over you, Button and other travel experts suggest pausing to consider your lifestyle, taste, needs, and the scale of your home—you’re going back to the reality of your everyday life, after all.

But that doesn’t necessarily mean being entirely practical. Einbinder collects miniatures, mostly miniature houses, from every country, and has more than a hundred. Most are in storage, but she keeps a little London bus and a little Egyptian pyramid on her desk. For her, souvenirs aren’t just about memories, they’re also about the hunt. “It gives me something to search for” on each trip, she says. “That’s half the fun.”

Ignore the hard sell

Another way travelers often go wrong is by giving in to pressure, or at least persistence, from salespeople.

When Kimba Hills, an interior designer, went to Morocco, she hired a guide who took her to a rug store in Fez, where the dealers delivered a whirlwind sales pitch while serving tea. She wound up buying a $4,000 flat-weave Turkish rug, measuring about 13 feet by 9 feet.

“No one in my group could believe I got seduced,” she says.

When the rug finally arrived at her home in Santa Monica, “It smelled like cow dung,” she says. Washing the rug was going to change the color.

When she called the dealer in Fez and demanded her money back, he refused, offering to send her a different rug instead. “We got into a yelling match,” says Hills. “All my skills went out the window.”

Looking back, she says, “You are in a buying mode because you are there and feel like you should buy something.” On a recent trip to Mexico, she bought nothing, explaining, “I’m wiser.”

Sometimes, magic

Spontaneity can cut both ways. There’s the chicken painting. But waiting for inspiration to strike, rather than planning to go home with a souvenir, can still help.

Henry Zankov, a sweater designer, says that when he travels, he explores his destinations with the idea that he won’t buy anything unless he comes across something he loves. He still buys plenty, but says “I don’t have regrets.” At his home in Brooklyn, he has ceramics, vases and glassware from shops he found randomly in Spain, Greece, and Italy. “I buy what I have to have,” he says.

There are times he doesn’t find anything. “So I just give up,” he says. “It’s OK.”

Some souvenirs do become the treasure of a lifetime.

Annie Lucas , the co-owner of MIR, which offers tours to less-traveled destinations, became captivated by a mirror on a trip to Morocco. It was made with hand-pounded silver and pieces of camel bones.

She went back to the store three or four times, debating the cost and whether she would regret it once she got home. It was heavy and measured 24 inches by 40 inches.

“That was 15 years ago, and I still treasure it,” she says. “If I had to get out of my house and had only five minutes to pack, I would grab that off the wall.”

A sharp technology sell-off has exposed a new anxiety on global markets: whether the enormous borrowing behind the artificial-intelligence infrastructure boom can generate sufficient returns as interest rates rise and Chinese competition intensifies.

The artificial-intelligence investment boom has powered technology shares, semiconductor manufacturers and data-centre operators to extraordinary heights. Last week, investors were given a reminder that much of this expansion is being built with borrowed money.

The technology-heavy Nasdaq Composite fell 4.5 per cent over the week ended October 16, its weakest performance since late June. Semiconductor shares suffered an even deeper correction, with the Philadelphia Semiconductor Index losing about 11.4 per cent.

The selling spread quickly through global markets. Micron Technology fell 14.6 per cent over the week, while South Korea’s Samsung Electronics and SK Hynix dropped approximately 18 per cent and 24 per cent respectively.

This was more than a routine bout of profit-taking. Investors were reassessing three interconnected risks: higher interest rates, the rapidly expanding debt burden attached to AI infrastructure and the prospect of stronger competition from Chinese memory-chip manufacturers.

The debt behind the AI build-out

Artificial intelligence requires a physical infrastructure network of enormous scale. Data centres must be built, advanced processors purchased, power supplies secured and cooling systems installed before customers begin generating meaningful revenue from them.

Technology companies are increasingly supplementing their own cash with corporate bonds, syndicated loans, equipment leases, private credit and project-level financing.

JPMorgan describes the emerging funding model as a combination of conventional corporate borrowing and project finance tied to individual data-centre assets. In Australia, the Reserve Bank estimates that syndicated loans accounted for approximately three-quarters of data-centre financing during 2025 and 2026 to date.

The numbers are becoming large enough to affect broader credit markets. The Federal Reserve Bank of Dallas has cited Wall Street estimates suggesting AI-related investment-grade bond issuance could approach US$300 billion in 2026 alone.

That borrowing is not automatically problematic. Debt can be an efficient way to finance long-lived infrastructure when future revenue is sufficiently predictable. The concern is that AI technology, customer demand and computing economics are changing much faster than the repayment schedules attached to the assets.

A data centre financed today may carry debt for years. Investors must therefore make assumptions about future utilisation rates, electricity prices, chip performance, customer concentration and the amount businesses will ultimately pay for AI computing.

When interest rates rise, those assumptions become less forgiving.

Inflation changes the calculation

September’s US inflation data intensified the pressure. Consumer prices increased 3.7 per cent over the year, ahead of market expectations and up from 3.4 per cent in August.

The hotter reading reduced confidence that interest rates would fall quickly and pushed bond yields higher. That matters particularly for companies whose valuations depend on profits expected well into the future, as well as highly leveraged infrastructure operators that may need to refinance.

CoreWeave has emerged as a closely watched test case. The specialist cloud-computing company has accumulated substantial debt and lease obligations to build AI capacity, while relying on a concentrated group of large technology customers.

Its shares fell sharply during the sell-off, while the cost of insuring its debt against default climbed. CoreWeave has argued that its contracted backlog more than covers its obligations and that financial markets do not always understand its business model. Nevertheless, its securities have become a proxy for investor confidence in debt-funded AI infrastructure.

Oracle, another major investor in AI computing capacity, fell 8.8 per cent in Friday trading, while CoreWeave dropped 15.5 per cent.

The question is shifting from how much AI infrastructure can be built to how profitably it can be operated.

China adds another source of pressure

Interest rates were not the only catalyst. Reports of advances by Chinese memory-chip producer ChangXin Memory Technologies raised concerns that lower-cost Chinese products could increase competition across the global semiconductor industry.

Memory chips are essential to AI systems, but the industry is historically cyclical. Periods of tight supply and high pricing can encourage rapid investment, eventually producing oversupply and falling margins.

The prospect of a well-funded Chinese competitor expanding its technological capabilities unsettled investors in Samsung, SK Hynix and Micron. It also demonstrated that AI-related demand does not insulate chipmakers from conventional competitive pressures.

That combination—slower rate cuts, more expensive financing and potentially cheaper supply—challenged the assumption that every company exposed to AI would enjoy continually expanding margins.

A reset rather than the end of the boom

The sell-off does not establish that the AI boom is ending. Demand for computing power remains strong, the largest technology companies continue to generate formidable cash flows and many infrastructure projects are backed by long-term customer contracts.

What has changed is the market’s willingness to overlook the price and financing structure of that growth.

The most resilient companies are likely to be those able to fund investment from operating cash flow, secure long-duration customers and demonstrate that new capacity will earn returns comfortably above its financing costs.

More speculative operators may face greater scrutiny, particularly where debt is expensive, customers are concentrated or expected revenue depends on demand that has not yet materialised.

For Australian investors, the lesson extends beyond US technology shares. Local data-centre operators, infrastructure funds, electricity suppliers and property groups are increasingly exposed to the same investment cycle.

Artificial intelligence may remain one of the defining growth themes of the decade. But last week’s correction showed that enthusiasm for the technology does not eliminate financial discipline.

The next stage of the AI boom will be judged not only by computing power, model performance or demand for chips, but by something more traditional: whether the assets being financed can generate enough cash to repay the money borrowed to build them.

Fact box

Nasdaq Composite: Down 4.5 per cent for the week ended October 16, 2026

Philadelphia Semiconductor Index: Down approximately 11.4 per cent

Micron Technology: Down approximately 14.6 per cent

Samsung Electronics: Down approximately 18 per cent

SK Hynix: Down approximately 24 per cent

US September inflation: 3.7 per cent annually

Estimated 2026 AI-related investment-grade issuance: Approximately US$300 billion